1

Senior Ai Manager Jobs (NOW HIRING)

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... They are responsible for managing the overall health of the technology ecosystem and will manage ...

Senior AI Engineer

Minneapolis, MN

$57.75 - $74.25/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... They are responsible for managing the overall health of the technology ecosystem and will manage ...

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

The Sr AI Engineer serves as a senior technical leader responsible for architecting, scaling, and ... Implement model lifecycle management with experiment tracking, model registry, retraining ...

Senior AI Product Manager

$129K - $170K/yr

The Senior AI Product Manager is a hands-on, strategic technical leader responsible for developing and delivering AI-powered automation and tooling across Schellman's internal operations and service ...

Sr AI Portfolio Manager

Lakewood, CO · On-site

$127K - $168K/yr

Senior AI Portfolio Manager JOB SUMMARY We are seeking a motivated Senior AI Portfolio Manager who working under minimal supervision defines the direction of multiple products and drives adoption for ...

Sr AI Portfolio Manager

Lakewood, CO · On-site

$127K - $168K/yr

Senior AI Portfolio Manager JOB SUMMARY We are seeking a motivated Senior AI Portfolio Manager who working under minimal supervision defines the direction of multiple products and drives adoption for ...

Senior AI Engineer

Minneapolis, MN

$57.75 - $74.25/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... They are responsible for managing the overall health of the technology ecosystem and will manage ...

Senior AI Engineer

Buchanan, GA

$49.25 - $63.50/hr

Position Summary The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading ... They are responsible for managing the overall health of the technology ecosystem and will manage ...

Your Mission As a Senior Marketing AI Manager, you will be responsible for building and running the AI operating layer in the Marketing Team. Your role, as a senior horizontal enabler, will be to ...

Senior AI Engineer

Washington, DC

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are ... management and new product development. * Contribute to the design, development, evaluation, and ...

Senior AI Engineer

Conroe, TX · Hybrid

$93K - $128K/yr

Senior AI Engineer - Agentic Solutions Candidates must be able to convert to full time without ... manage LLM integrations, prompts, and model versions. · Own delivery end-to-end from rapid ...

Senior AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are ... management and new product development. * Contribute to the design, development, evaluation, and ...

Senior AI Engineer

Odell, OR

$107K - $147K/yr

... of Senior AI Engineer within the Data and Analytics function leverages their skills across ... Experience in AI managed services like H20, Snowflake Cortex etc. * Experience in Snowflake ...

Senior AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior AI Engineer Hybrid - Washington D.C. (preferred) or New York, NY About The Role We are ... management and new product development. * Contribute to the design, development, evaluation, and ...

Diverse Lynx is a company seeking a Senior AI Project Manager to lead AI workstream delivery. The role involves managing project plans, timelines, and resources while ensuring adherence to governance ...

next page

Showing results 1-20

Senior Ai Manager information

How much does an AI manager make?

An AI manager's salary typically ranges from $120,000 to $200,000 annually, depending on experience, location, and industry. Senior AI managers with advanced skills in machine learning, data analysis, and leadership can earn higher compensation, often supplemented with bonuses and stock options.

What jobs pay 2000 a day?

Senior AI Managers or AI Directors in technology companies can earn around $2,000 per day, especially when including bonuses and stock options. Such high daily earnings typically require extensive experience, advanced skills in machine learning and data analysis, and often involve leadership roles overseeing AI projects or teams.

What is the highest paid job in AI?

The highest paid roles in AI typically include AI research directors, chief AI officers, and senior machine learning executives, often earning six- to seven-figure salaries. These positions require extensive experience, advanced degrees, and expertise in areas like deep learning, natural language processing, and AI strategy. Compensation varies by industry, company size, and location but generally reflects leadership and technical specialization in AI development and deployment.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI manager or executive role, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and leadership, and are usually found in large tech companies or innovative startups. Such compensation reflects the high demand for AI expertise and the strategic importance of AI initiatives within organizations.

What are some common challenges a Senior AI Manager faces when leading cross-functional AI teams?

A Senior AI Manager often encounters challenges related to aligning diverse teams—such as data scientists, engineers, and business stakeholders—toward a shared vision. Balancing technical feasibility with business goals and managing expectations around AI capabilities can require strong communication and negotiation skills. Additionally, keeping up with rapid advancements in AI technology while ensuring ethical and responsible AI deployment is crucial. Fostering collaboration, continuous learning, and adaptability within the team helps overcome these challenges.

What are the key skills and qualifications needed to thrive as a Senior AI Manager, and why are they important?

To thrive as a Senior AI Manager, you need deep expertise in artificial intelligence, machine learning, and data science, usually supported by an advanced degree in computer science or a related field and several years of relevant experience. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS or Azure), and project management tools is typically required. Exceptional leadership, communication, and strategic thinking abilities help guide teams and align AI initiatives with business objectives. These skills are crucial for driving successful AI projects, fostering innovation, and delivering measurable business impact.

What does a Senior AI Manager do?

A Senior AI Manager oversees the development and implementation of artificial intelligence projects within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to design, build, and deploy AI solutions that address business needs. In addition to technical expertise, they are responsible for setting strategic direction, managing budgets, and ensuring projects align with company goals. Senior AI Managers also stay current with the latest AI trends and technologies to drive innovation.

What is the difference between Senior Ai Manager vs Data Scientist?

AspectSenior Ai ManagerData Scientist
Required CredentialsBachelor's/Master's in Computer Science, AI, or related fields; leadership experienceDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholdersAnalyzes data, develops models, interprets results
Employer & Industry UsageTech companies, AI startups, large enterprises integrating AI solutionsResearch institutions, tech firms, finance, healthcare, and data-driven industries

The Senior Ai Manager focuses on leading AI initiatives, managing teams, and strategic planning, while Data Scientists primarily analyze data, develop models, and generate insights. Both roles require strong technical skills, but the Senior Ai Manager emphasizes leadership and project management within AI projects.

What cities are hiring for Senior Ai Manager jobs? Cities with the most Senior Ai Manager job openings:
What are the most commonly searched types of Senior Ai jobs? The most popular types of Senior Ai jobs are:
What states have the most Senior Ai Manager jobs? States with the most job openings for Senior Ai Manager jobs include:
Infographic showing various Senior Ai Manager job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 69% In-person, and 31% Remote job distribution.
Senior AI Engineer

Senior AI Engineer

Xcel Energy

Minneapolis, MN • On-site

$57.75 - $74.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Xcel Energy rating

8.5

Company rating: 8.5 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

12th of 50 rated energy and utility


Job description

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for.
Position Summary
The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading the technical delivery of innovative IT and AI-powered solutions that drive strategic value and operational excellence. This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to deliver innovative solutions that transform business operations.
In addition to technical leadership, the Sr. AI Engineer will mentor and guide teams in adopting AI tooling, establish best practices, foster a culture of continuous improvement and collaboration and ensure that AI solutions are secure, scalable, and aligned with enterprise goals. The position partners with Architecture, Security, and Operations teams to integrate enterprise architecture, compliance, and operational requirements into every solution.
The Sr. AI Engineer is responsible for leading technical aspects of IT solution delivery, strategic planning, and operational excellence. They are responsible for managing the overall health of the technology ecosystem and will manage and oversee design of solutions to meet business needs and support the overall IT Strategy. They provide technical guidance in partnership with Architecture and cross-organizational input and in accordance with business unit objectives. They are a consultant to business managers, architecture, security and operations teams to drive cross-awareness of business needs and opportunities. They bring innovative solutions to the business line by leveraging their technical expertise. They identify and implement continuous improvement over cost, security, operation, and functionality of the solutions in their domain.
Essential Responsibilities
  • Solution Delivery: Lead and support solution lifecycle technical activities. Ensure solutions are designed for great user experience and operational performance. Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated into solutions. Provide input to cost and schedule estimation. Responsible for overall integrity of system design and operation. Oversee vendor activities.
  • Relationship Management: Conduct peer reviews and approve system changes and technical solution design. Coach and mentor less experience team members. Partner cross-organizationally to drive minimal costs on optimal solutions. Provide in-depth technical information to stakeholders as needed.
  • Strategy & Planning: Innovate through usage of industry emerging capabilities and evolving customer needs. Provide input to strategic roadmap and technical dependencies.
  • Subject Matter Expertise: Continuously stay current on, and apply, technical industry knowledge pertaining to the respective domain
  • Operations: Review solution performance, and continually assess health of systems. Track and drive awareness to operational and technical debt risks. Provide escalated support to incident and problem management. Utilize analytics to improve availability, reliability, efficiency and capacity. Oversee vendor activities.
  • Solid grasp of core AI engineering concepts, including agentic patterns, agent-to-agent (A2A) communication, tool use, and orchestration.
  • Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable coding agents, including day-to-day use in a professional development workflow.
  • Proficiency building with AI-relevant languages and ecosystems, particularly TypeScript, Python, and .NET.
  • Working knowledge of the Model Context Protocol (MCP) and experience with related frameworks and SDKs (e.g., FastMCP, Microsoft Agent Framework, or equivalents).
  • Demonstrated experience building agents, skills, hooks, plugins, and tool integrations that extend AI platforms.

Minimum Requirements
  • Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
  • Ten years of related functional experience.
  • Excellent communication skills, effective with varying organizational levels and skill set, and able to translate between technical and non-technical concepts.
  • Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive inovation and business results.
  • Expertise managing the lifecycle of technical solutions.
  • Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture.
  • Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models.
  • Experience working in partnership with internal and external vendors.
  • Excellent analytical, problem-solving and troubleshooting skills.
  • Extensive knowledge of future technology trends within area of expertise.
  • Demonstrated leadership on technical aspects of large scale projects.
  • Experience coaching other developers in system deployment or operational troubleshooting.
  • Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL).
  • Experience and understanding of core IT Service Management functions, such as Change Management and Incident Management.

Preferred Requirements
  • Familiarity with AI security and governance controls - approval flows, guardrails against unapproved actions, plugin/tool allowlisting, sandboxing, and permission models.
  • AI Identity and data access patterns - OAuth, scoped tokens, and least-privilege access for agents acting on behalf of users (Microsoft Graph, enterprise APIs, etc.).
  • Mentorship and technical leadership - guiding teams adopting AI tooling, establishing patterns, and reviewing AI-generated code at scale.

As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you're ready to be a part of something big, we invite you to join our team.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com.
Non-Bargaining
The anticipated starting base pay for this position is: $130,000.00 to $170,000.00 per year
This position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Reimbursement Account, Health Care Reimbursement Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave
Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.
In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.
Deadline to Apply: 06/14/26
EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)
All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.
ACCESSIBILITY STATEMENT
Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

What Xcel Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Xcel Energy logo

About Xcel Energy

Sourced by ZipRecruiter

Xcel Energy is a prominent electricity and natural gas service provider serving multiple states in the United States, including Colorado, Michigan, Minnesota, New Mexico, North Dakota, South Dakota, Texas, and Wisconsin. Our commitment revolves around delivering essential services to our valued customers. As a trailblazer in the industry, we were the first major US electricity provider with a visionary goal to achieve 100% carbon-free electricity by 2050 and an ambitious 80% reduction in carbon emissions by 2030, based on 2005 levels. Through innovative electric vehicle initiatives, we actively contribute to carbon reduction not only in our electricity generation but also in the transportation sector within the states we operate. Simultaneously, we remain devoted to ensuring cost-effectiveness for our customers by implementing advanced electricity rates and energy efficiency programs.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1909